Structured Problem-Solving & Hypothesis Thinking is a structured track of 13 lessons that build a complete, interview-ready understanding of the topic. Work through them in order, then use the quiz and flashcards in each lesson to revise.
What this course covers
- What Structured Problem-Solving Actually Means - Structure as a way of not missing things, rather than as a template to recite.
- Defining the Problem Before Solving It - Turning a vague client complaint into a precise, answerable question.
- Building Issue Trees That Are Mutually Exclusive - Constructing a complete, non-overlapping breakdown, with worked examples.
- Hypothesis-Led Thinking and the Day One Answer - Forming an early hypothesis and testing it instead of boiling the ocean.
- Driver Trees & Decomposing a Metric - Breaking a number into the levers a client can actually pull.
- Prioritisation: Impact, Effort & the Eighty-Twenty Rule - Choosing what to analyse first, and defending what you chose to ignore.
- Trade-Off Thinking and Making a Recommendation - Holding two good options side by side and still committing to one.
- Reasoning Under Incomplete Information - Making a defensible call when the data you want does not exist.
- Common Logical Fallacies in Client Problem-Solving - The reasoning errors that survive into final decks, and how to catch them.
- Root Cause Analysis Beyond the First Answer - Driving past the first plausible cause to the one worth fixing.
- Synthesis: Turning Analysis into a Single Message - Compressing weeks of work into one sentence a client will act on.
- Using AI to Structure a Problem Without Outsourcing Your Thinking - Where AI genuinely helps structuring, and the point at which it makes you worse.
- Applied: One Business Problem Structured Three Ways - The same problem broken down three different ways, with the trade-offs of each.